Approximate personal name‐matching through finite‐state graphs
Identifieur interne : 000E91 ( Main/Exploration ); précédent : 000E90; suivant : 000E92Approximate personal name‐matching through finite‐state graphs
Auteurs : Carmen Galvez [Espagne] ; Félix Moya Neg N [Espagne]Source :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2007-11.
Abstract
This article shows how finite‐state methods can be employed in a new and different task: the conflation of personal name variants in standard forms. In bibliographic databases and citation index systems, variant forms create problems of inaccuracy that affect information retrieval, the quality of information from databases, and the citation statistics used for the evaluation of scientists' work. A number of approximate string matching techniques have been developed to validate variant forms, based on similarity and equivalence relations. We classify the personal name variants as nonvalid and valid forms. In establishing an equivalence relation between valid variants and the standard form of its equivalence class, we defend the application of finite‐state transducers. The process of variant identification requires the elaboration of: (a) binary matrices and (b) finite‐state graphs. This procedure was tested on samples of author names from bibliographic records, selected from the Library and Information Science Abstracts and Science Citation Index Expanded databases. The evaluation involved calculating the measures of precision and recall, based on completeness and accuracy. The results demonstrate the usefulness of this approach, although it should be complemented with methods based on similarity relations for the recognition of spelling variants and misspellings.
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DOI: 10.1002/asi.20671
Affiliations:
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Am. Soc. Inf. Sci.</title><idno type="ISSN">1532-2882</idno><idno type="eISSN">1532-2890</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2007-11">2007-11</date><biblScope unit="volume">58</biblScope><biblScope unit="issue">13</biblScope><biblScope unit="page" from="1960">1960</biblScope><biblScope unit="page" to="1976">1976</biblScope></imprint><idno type="ISSN">1532-2882</idno></series><idno type="istex">CFA76DFD504B587FDD7B41EE1CA75AF02A42E8B8</idno><idno type="DOI">10.1002/asi.20671</idno><idno type="ArticleID">ASI20671</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1532-2882</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This article shows how finite‐state methods can be employed in a new and different task: the conflation of personal name variants in standard forms. In bibliographic databases and citation index systems, variant forms create problems of inaccuracy that affect information retrieval, the quality of information from databases, and the citation statistics used for the evaluation of scientists' work. A number of approximate string matching techniques have been developed to validate variant forms, based on similarity and equivalence relations. We classify the personal name variants as nonvalid and valid forms. In establishing an equivalence relation between valid variants and the standard form of its equivalence class, we defend the application of finite‐state transducers. The process of variant identification requires the elaboration of: (a) binary matrices and (b) finite‐state graphs. This procedure was tested on samples of author names from bibliographic records, selected from the Library and Information Science Abstracts and Science Citation Index Expanded databases. The evaluation involved calculating the measures of precision and recall, based on completeness and accuracy. The results demonstrate the usefulness of this approach, although it should be complemented with methods based on similarity relations for the recognition of spelling variants and misspellings.</div></front></TEI><affiliations><list><country><li>Espagne</li></country><region><li>Andalousie</li></region><settlement><li>Grenade (Espagne)</li></settlement><orgName><li>Université de Grenade</li></orgName></list><tree><country name="Espagne"><region name="Andalousie"><name sortKey="Galvez, Carmen" sort="Galvez, Carmen" uniqKey="Galvez C" first="Carmen" last="Galvez">Carmen Galvez</name></region><name sortKey="Galvez, Carmen" sort="Galvez, Carmen" uniqKey="Galvez C" first="Carmen" last="Galvez">Carmen Galvez</name><name sortKey="Moya Neg N, Felix" sort="Moya Neg N, Felix" uniqKey="Moya Neg N F" first="Félix" last="Moya Neg N">Félix Moya Neg N</name><name sortKey="Moya Neg N, Felix" sort="Moya Neg N, Felix" uniqKey="Moya Neg N F" first="Félix" last="Moya Neg N">Félix Moya Neg N</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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